Remote AWS Data Engineer

Summary

Join our Data Engineering Team as an AWS Data Engineer to develop ETL flows, design and build rapid Proof-of-Concept solutions, and collaborate with the engineering team to ensure reliable and maintainable services.

Requirements

• 3+ years of technical expertise in Database development, designing and building database solutions (tables / stored procedures / forms / queries / etc.)
• Business intelligence knowledge with a deep understanding of data structure / data models to design and tune BI solutions
• 3+ years experience AWS services like EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway
• Familiar with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script
• Understanding of Spark, Hive, Kafka, Spark Streaming, and Airflow
• Experience in Software Engineering and Development
• Understanding of database schema design
• Advanced data analytics – designing and building solutions using AWS technologies
• Data formats knowledge and the differences between them
• Experience with Hadoop stack
• Experience with RDBMS and/or NoSQL
• Experience with Kafka
• Experience with Java and/or Scala and/or python
• Knowledge of version control system: git or bitbucket
• BI Tools experience (PowerBI)
• Background in test driven development, automated testing and other software engineering best practices (e.g., performance, security, BDD, etc.)
• Docker/Kubernetes paradigm understanding
• English –upper intermediate

Responsibilities

• Developing ETL flows based on AWS stack technology: such as EC2, S3, edshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway
• Participate in efforts to design, build, and develop rapid Proof-of-Concept (POC) solutions and services
• Be a key team member in design and development of the product team
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms
• Review functional and technical designs to identify areas of risk and/or missing requirements
• Troubleshooting and performance optimization for data processing flows, data models
• Build and maintain reporting, models, dashboards

Benefits

• Office or remote — it's up to you. You can work from anywhere, and we will arrange your workplace
• Remote onboarding
• Performance bonuses for everyone (annual or quarterly — depends on the role)
• We train employees: the opportunity to learn through the company’s own library, internal resources and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication